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Ma et al., 2015 - Google Patents

Detect rumors using time series of social context information on microblogging websites

Ma et al., 2015

View PDF
Document ID
7472116249702793507
Author
Ma J
Gao W
Wei Z
Lu Y
Wong K
Publication year
Publication venue
Proceedings of the 24th ACM international on conference on information and knowledge management

External Links

Snippet

Automatically identifying rumors from online social media especially microblogging websites is an important research issue. Most of existing work for rumor detection focuses on modeling features related to microblog contents, users and propagation patterns, but ignore …
Continue reading at ink.library.smu.edu.sg (PDF) (other versions)

Classifications

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    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • GPHYSICS
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